Triple
T13265043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amity, Oregon |
E315895
|
entity |
| Predicate | isInWineCountry |
P102970
|
FINISHED |
| Object | Oregon wine country |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oregon wine country | Statement: [Amity, Oregon, isInWineCountry, Oregon wine country]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInWineCountry Context triple: [Amity, Oregon, isInWineCountry, Oregon wine country]
-
A.
hasNearbyWinery
Indicates that one entity is located close to, or in the vicinity of, a winery.
-
B.
locatedInWineTourismCorridor
chosen
Indicates that something is situated within a designated wine tourism corridor or route.
-
C.
hasWinery
Indicates a relationship where a subject owns, operates, or is associated with a particular winery.
-
D.
includesWineProvince
Indicates that one entity (typically a region or collection) contains or encompasses a specific wine-producing province within its scope.
-
E.
hasWinemakingFacility
Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.